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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

632 lines
22 KiB
Go

// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package segments
import (
"context"
"math"
"sort"
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/suite"
"google.golang.org/protobuf/proto"
"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
"github.com/milvus-io/milvus/internal/mocks/util/mock_segcore"
"github.com/milvus-io/milvus/internal/util/reduce"
"github.com/milvus-io/milvus/pkg/v3/proto/internalpb"
"github.com/milvus-io/milvus/pkg/v3/proto/segcorepb"
"github.com/milvus-io/milvus/pkg/v3/util/metric"
"github.com/milvus-io/milvus/pkg/v3/util/paramtable"
)
type ResultSuite struct {
suite.Suite
}
func (suite *ResultSuite) TestResult_SelectSearchResultData_int() {
type args struct {
dataArray []*schemapb.SearchResultData
resultOffsets [][]int64
offsets []int64
topk int64
nq int64
qi int64
}
suite.Run("Integer ID", func() {
tests := []struct {
name string
args args
want int
}{
{
args: args{
dataArray: []*schemapb.SearchResultData{
{
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{11, 9, 7, 5, 3, 1},
},
},
},
Scores: []float32{1.1, 0.9, 0.7, 0.5, 0.3, 0.1},
Topks: []int64{2, 2, 2},
},
{
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{12, 10, 8, 6, 4, 2},
},
},
},
Scores: []float32{1.2, 1.0, 0.8, 0.6, 0.4, 0.2},
Topks: []int64{2, 2, 2},
},
},
resultOffsets: [][]int64{{0, 2, 4}, {0, 2, 4}},
offsets: []int64{0, 1},
topk: 2,
nq: 3,
qi: 0,
},
want: 0,
},
}
for _, tt := range tests {
suite.Run(tt.name, func() {
if got := SelectSearchResultData(tt.args.dataArray, tt.args.resultOffsets, tt.args.offsets, tt.args.qi); got != tt.want {
suite.T().Errorf("SelectSearchResultData() = %v, want %v", got, tt.want)
}
})
}
})
suite.Run("Integer ID with bad score", func() {
tests := []struct {
name string
args args
want int
}{
{
args: args{
dataArray: []*schemapb.SearchResultData{
{
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{11, 9, 7, 5, 3, 1},
},
},
},
Scores: []float32{-math.MaxFloat32, -math.MaxFloat32, -math.MaxFloat32, -math.MaxFloat32, -math.MaxFloat32, -math.MaxFloat32},
Topks: []int64{2, 2, 2},
},
{
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{12, 10, 8, 6, 4, 2},
},
},
},
Scores: []float32{-math.MaxFloat32, -math.MaxFloat32, -math.MaxFloat32, -math.MaxFloat32, -math.MaxFloat32, -math.MaxFloat32},
Topks: []int64{2, 2, 2},
},
},
resultOffsets: [][]int64{{0, 2, 4}, {0, 2, 4}},
offsets: []int64{0, 1},
topk: 2,
nq: 3,
qi: 0,
},
want: -1,
},
}
for _, tt := range tests {
suite.Run(tt.name, func() {
if got := SelectSearchResultData(tt.args.dataArray, tt.args.resultOffsets, tt.args.offsets, tt.args.qi); got != tt.want {
suite.T().Errorf("SelectSearchResultData() = %v, want %v", got, tt.want)
}
})
}
})
}
func (suite *ResultSuite) TestSort() {
result := &segcorepb.RetrieveResults{
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{5, 4, 3, 2, 9, 8, 7, 6},
},
},
},
Offset: []int64{5, 4, 3, 2, 9, 8, 7, 6},
FieldsData: []*schemapb.FieldData{
mock_segcore.GenFieldData("int64 field", 100, schemapb.DataType_Int64,
[]int64{5, 4, 3, 2, 9, 8, 7, 6}, 1),
mock_segcore.GenFieldData("double field", 101, schemapb.DataType_Double,
[]float64{5, 4, 3, 2, 9, 8, 7, 6}, 1),
mock_segcore.GenFieldData("string field", 102, schemapb.DataType_VarChar,
[]string{"5", "4", "3", "2", "9", "8", "7", "6"}, 1),
mock_segcore.GenFieldData("bool field", 103, schemapb.DataType_Bool,
[]bool{false, true, false, true, false, true, false, true}, 1),
mock_segcore.GenFieldData("float field", 104, schemapb.DataType_Float,
[]float32{5, 4, 3, 2, 9, 8, 7, 6}, 1),
mock_segcore.GenFieldData("int field", 105, schemapb.DataType_Int32,
[]int32{5, 4, 3, 2, 9, 8, 7, 6}, 1),
mock_segcore.GenFieldData("float vector field", 106, schemapb.DataType_FloatVector,
[]float32{5, 4, 3, 2, 9, 8, 7, 6}, 1),
mock_segcore.GenFieldData("binary vector field", 107, schemapb.DataType_BinaryVector,
[]byte{5, 4, 3, 2, 9, 8, 7, 6}, 8),
mock_segcore.GenFieldData("json field", 108, schemapb.DataType_JSON,
[][]byte{
[]byte("{\"5\": 5}"), []byte("{\"4\": 4}"), []byte("{\"3\": 3}"), []byte("{\"2\": 2}"),
[]byte("{\"9\": 9}"), []byte("{\"8\": 8}"), []byte("{\"7\": 7}"), []byte("{\"6\": 6}"),
}, 1),
mock_segcore.GenFieldData("json field", 108, schemapb.DataType_Array,
[]*schemapb.ScalarField{
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{5, 6, 7}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{4, 5, 6}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{3, 4, 5}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{2, 3, 4}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{9, 10, 11}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{8, 9, 10}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{7, 8, 9}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{6, 7, 8}}}},
}, 1),
},
}
sort.Sort(&byPK{result})
suite.Equal([]int64{2, 3, 4, 5, 6, 7, 8, 9}, result.GetIds().GetIntId().GetData())
suite.Equal([]int64{2, 3, 4, 5, 6, 7, 8, 9}, result.GetOffset())
suite.Equal([]int64{2, 3, 4, 5, 6, 7, 8, 9}, result.FieldsData[0].GetScalars().GetLongData().Data)
suite.InDeltaSlice([]float64{2, 3, 4, 5, 6, 7, 8, 9}, result.FieldsData[1].GetScalars().GetDoubleData().Data, 10e-10)
suite.Equal([]string{"2", "3", "4", "5", "6", "7", "8", "9"}, result.FieldsData[2].GetScalars().GetStringData().Data)
suite.Equal([]bool{true, false, true, false, true, false, true, false}, result.FieldsData[3].GetScalars().GetBoolData().Data)
suite.InDeltaSlice([]float32{2, 3, 4, 5, 6, 7, 8, 9}, result.FieldsData[4].GetScalars().GetFloatData().Data, 10e-10)
suite.Equal([]int32{2, 3, 4, 5, 6, 7, 8, 9}, result.FieldsData[5].GetScalars().GetIntData().Data)
suite.InDeltaSlice([]float32{2, 3, 4, 5, 6, 7, 8, 9}, result.FieldsData[6].GetVectors().GetFloatVector().GetData(), 10e-10)
suite.Equal([]byte{2, 3, 4, 5, 6, 7, 8, 9}, result.FieldsData[7].GetVectors().GetBinaryVector())
suite.Equal([][]byte{
[]byte("{\"2\": 2}"), []byte("{\"3\": 3}"), []byte("{\"4\": 4}"), []byte("{\"5\": 5}"),
[]byte("{\"6\": 6}"), []byte("{\"7\": 7}"), []byte("{\"8\": 8}"), []byte("{\"9\": 9}"),
}, result.FieldsData[8].GetScalars().GetJsonData().GetData())
suite.Equal([]*schemapb.ScalarField{
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{2, 3, 4}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{3, 4, 5}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{4, 5, 6}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{5, 6, 7}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{6, 7, 8}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{7, 8, 9}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{8, 9, 10}}}},
{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{9, 10, 11}}}},
}, result.FieldsData[9].GetScalars().GetArrayData().GetData())
}
func (suite *ResultSuite) TestReduceSearchOnQueryNode() {
results := make([]*internalpb.SearchResults, 0)
metricType := metric.IP
nq := int64(1)
topK := int64(1)
mockBlob := []byte{65, 66, 67, 65, 66, 67}
{
subRes1 := &internalpb.SearchResults{
MetricType: metricType,
NumQueries: nq,
TopK: topK,
SlicedBlob: mockBlob,
ScannedRemoteBytes: 100,
ScannedTotalBytes: 200,
}
results = append(results, subRes1)
}
{
subRes2 := &internalpb.SearchResults{
MetricType: metricType,
NumQueries: nq,
TopK: topK,
SlicedBlob: mockBlob,
ScannedRemoteBytes: 100,
ScannedTotalBytes: 200,
}
results = append(results, subRes2)
}
reducedRes, err := ReduceSearchOnQueryNode(context.Background(), results, reduce.NewReduceSearchResultInfo(nq, topK).
WithMetricType(metricType).WithPkType(schemapb.DataType_Int8).WithAdvance(true))
suite.NoError(err)
suite.Equal(2, len(reducedRes.GetSubResults()))
subRes1 := reducedRes.GetSubResults()[0]
suite.Equal(metricType, subRes1.GetMetricType())
suite.Equal(nq, subRes1.GetNumQueries())
suite.Equal(topK, subRes1.GetTopK())
suite.Equal(mockBlob, subRes1.GetSlicedBlob())
suite.Equal(int64(200), reducedRes.GetScannedRemoteBytes())
suite.Equal(int64(400), reducedRes.GetScannedTotalBytes())
}
func (suite *ResultSuite) TestReduceSearchOnQueryNode_NonAdvanced() {
ctx := context.Background()
metricType := metric.IP
nq := int64(1)
topK := int64(1)
// build minimal valid blobs via encoder
srd1 := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{IdField: &schemapb.IDs_IntId{IntId: &schemapb.LongArray{Data: []int64{1}}}},
Scores: []float32{0.9},
Topks: []int64{1},
}
srd2 := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{IdField: &schemapb.IDs_IntId{IntId: &schemapb.LongArray{Data: []int64{2}}}},
Scores: []float32{0.8},
Topks: []int64{1},
}
rEnc1, err := EncodeSearchResultData(ctx, srd1, nq, topK, metricType)
suite.NoError(err)
rEnc1.ScannedRemoteBytes = 111
rEnc1.ScannedTotalBytes = 222
rEnc2, err := EncodeSearchResultData(ctx, srd2, nq, topK, metricType)
suite.NoError(err)
rEnc2.ScannedRemoteBytes = 333
rEnc2.ScannedTotalBytes = 444
out, err := ReduceSearchOnQueryNode(ctx, []*internalpb.SearchResults{rEnc1, rEnc2}, reduce.NewReduceSearchResultInfo(nq, topK).WithMetricType(metricType).WithPkType(schemapb.DataType_Int64))
suite.NoError(err)
// costs should aggregate across both included results
suite.Equal(int64(111+333), out.GetScannedRemoteBytes())
suite.Equal(int64(222+444), out.GetScannedTotalBytes())
}
func (suite *ResultSuite) TestReduceSearchOnQueryNode_NonAdvancedKeepsZeroHitWorkerMetadata() {
ctx := context.Background()
metricType := metric.IP
nq := int64(1)
topK := int64(1)
key := paramtable.Get().QueryNodeCfg.EnableResultZeroCopy.Key
original := paramtable.Get().QueryNodeCfg.EnableResultZeroCopy.GetValue()
defer paramtable.Get().Save(key, original)
paramtable.Get().Save(key, "false")
hitData := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{IdField: &schemapb.IDs_IntId{IntId: &schemapb.LongArray{Data: []int64{1}}}},
Scores: []float32{0.9},
Topks: []int64{1},
AllSearchCount: 10,
}
emptyData := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{},
Scores: []float32{},
Topks: []int64{0},
AllSearchCount: 20,
FieldsData: []*schemapb.FieldData{},
}
hitResult, err := EncodeSearchResultData(ctx, hitData, nq, topK, metricType)
suite.NoError(err)
hitResult.ScannedRemoteBytes = 111
hitResult.ScannedTotalBytes = 222
hitResult.CostAggregation = &internalpb.CostAggregation{
ResponseTime: 1,
ServiceTime: 11,
TotalRelatedDataSize: 13,
}
hitResult.ChannelsMvcc = map[string]uint64{"hit-channel": 100}
emptyResult, err := EncodeSearchResultData(ctx, emptyData, nq, topK, metricType)
suite.NoError(err)
suite.NotEmpty(emptyResult.GetSlicedBlob())
emptyResult.ScannedRemoteBytes = 333
emptyResult.ScannedTotalBytes = 444
emptyResult.CostAggregation = &internalpb.CostAggregation{
ResponseTime: 2,
ServiceTime: 22,
TotalRelatedDataSize: 17,
}
emptyResult.ChannelsMvcc = map[string]uint64{"empty-channel": 200}
out, err := ReduceSearchOnQueryNode(ctx, []*internalpb.SearchResults{hitResult, emptyResult},
reduce.NewReduceSearchResultInfo(nq, topK).WithMetricType(metricType).WithPkType(schemapb.DataType_Int64))
suite.NoError(err)
suite.Equal(int64(111+333), out.GetScannedRemoteBytes())
suite.Equal(int64(222+444), out.GetScannedTotalBytes())
suite.Equal(int64(13+17), out.GetCostAggregation().GetTotalRelatedDataSize())
suite.Equal(map[string]uint64{"hit-channel": 100, "empty-channel": 200}, out.GetChannelsMvcc())
var reduced schemapb.SearchResultData
suite.NoError(proto.Unmarshal(out.GetSlicedBlob(), &reduced))
suite.Equal(int64(30), reduced.GetAllSearchCount())
suite.Equal([]int64{1}, reduced.GetIds().GetIntId().GetData())
suite.Equal([]int64{1}, reduced.GetTopks())
}
func (suite *ResultSuite) TestReduceSearchOnQueryNode_ZeroCopyEmptyResultBeforeFieldsData() {
ctx := context.Background()
metricType := metric.IP
nq := int64(1)
topK := int64(1)
key := paramtable.Get().QueryNodeCfg.EnableResultZeroCopy.Key
original := paramtable.Get().QueryNodeCfg.EnableResultZeroCopy.GetValue()
defer paramtable.Get().Save(key, original)
paramtable.Get().Save(key, "true")
emptyData := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{},
Scores: []float32{},
Topks: []int64{0},
FieldsData: []*schemapb.FieldData{},
}
hitData := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{IdField: &schemapb.IDs_IntId{IntId: &schemapb.LongArray{Data: []int64{1}}}},
Scores: []float32{0.9},
Topks: []int64{1},
FieldsData: []*schemapb.FieldData{
{
Type: schemapb.DataType_Int64,
FieldName: "field1",
FieldId: 100,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{Data: []int64{10}},
},
},
},
},
},
}
emptyResult, err := EncodeSearchResultData(ctx, emptyData, nq, topK, metricType)
suite.NoError(err)
hitResult, err := EncodeSearchResultData(ctx, hitData, nq, topK, metricType)
suite.NoError(err)
var out *internalpb.SearchResults
suite.NotPanics(func() {
out, err = ReduceSearchOnQueryNode(ctx, []*internalpb.SearchResults{emptyResult, hitResult},
reduce.NewReduceSearchResultInfo(nq, topK).WithMetricType(metricType).WithPkType(schemapb.DataType_Int64))
})
suite.NoError(err)
if suite.NotNil(out) {
reduced, err := DecodeSearchResults(ctx, []*internalpb.SearchResults{out})
suite.NoError(err)
if suite.Len(reduced, 1) {
suite.Equal([]int64{1}, reduced[0].GetIds().GetIntId().GetData())
suite.Len(reduced[0].GetFieldsData(), 1)
}
}
}
func (suite *ResultSuite) TestEncodeSearchResultData_ZeroCopySwitch() {
ctx := context.Background()
key := paramtable.Get().QueryNodeCfg.EnableResultZeroCopy.Key
original := paramtable.Get().QueryNodeCfg.EnableResultZeroCopy.GetValue()
defer paramtable.Get().Save(key, original)
srd := &schemapb.SearchResultData{
NumQueries: 1,
TopK: 1,
Ids: &schemapb.IDs{IdField: &schemapb.IDs_IntId{IntId: &schemapb.LongArray{Data: []int64{1}}}},
Scores: []float32{0.9},
Topks: []int64{1},
}
paramtable.Get().Save(key, "false")
encodedBlob, err := EncodeSearchResultData(ctx, srd, 1, 1, metric.IP)
suite.NoError(err)
suite.Nil(encodedBlob.GetResultData())
suite.NotNil(encodedBlob.GetSlicedBlob())
paramtable.Get().Save(key, "true")
encodedZeroCopy, err := EncodeSearchResultData(ctx, srd, 1, 1, metric.IP)
suite.NoError(err)
suite.Nil(encodedZeroCopy.GetSlicedBlob())
suite.Same(srd, encodedZeroCopy.GetResultData())
}
func (suite *ResultSuite) TestReduceSearchOnQueryNode_AdvancedPreservesResultData() {
nq := int64(1)
topK := int64(1)
resultData := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{IdField: &schemapb.IDs_IntId{IntId: &schemapb.LongArray{Data: []int64{1}}}},
Scores: []float32{0.9},
Topks: []int64{1},
}
reducedRes, err := ReduceSearchOnQueryNode(context.Background(), []*internalpb.SearchResults{
{
MetricType: metric.IP,
NumQueries: nq,
TopK: topK,
ResultData: resultData,
ScannedRemoteBytes: 10,
ScannedTotalBytes: 20,
},
}, reduce.NewReduceSearchResultInfo(nq, topK).
WithMetricType(metric.IP).WithPkType(schemapb.DataType_Int64).WithAdvance(true))
suite.NoError(err)
suite.Len(reducedRes.GetSubResults(), 1)
suite.Same(resultData, reducedRes.GetSubResults()[0].GetResultData())
suite.Nil(reducedRes.GetSubResults()[0].GetSlicedBlob())
}
func (suite *ResultSuite) TestDecodeSearchResults_ResultDataAndBlob() {
ctx := context.Background()
nq := int64(1)
topK := int64(1)
// ResultData path (pre-decoded, zero-copy)
resultData := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{IdField: &schemapb.IDs_IntId{IntId: &schemapb.LongArray{Data: []int64{10}}}},
Scores: []float32{0.9},
Topks: []int64{1},
}
// SlicedBlob path (legacy marshaled)
blobData := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{IdField: &schemapb.IDs_IntId{IntId: &schemapb.LongArray{Data: []int64{20}}}},
Scores: []float32{0.8},
Topks: []int64{1},
}
blob, err := proto.Marshal(blobData)
suite.NoError(err)
decoded, err := DecodeSearchResults(ctx, []*internalpb.SearchResults{
{ResultData: resultData}, // zero-copy path
{SlicedBlob: blob}, // legacy path
{}, // empty — should be skipped
{SlicedBlob: nil}, // nil blob — should be skipped
})
suite.NoError(err)
suite.Len(decoded, 2)
suite.Same(resultData, decoded[0]) // zero-copy: same pointer
suite.True(proto.Equal(blobData, decoded[1])) // blob: equal content
}
func (suite *ResultSuite) TestReduceSearchResults_FilterIncludesResultData() {
ctx := context.Background()
nq := int64(1)
topK := int64(1)
resultData := &schemapb.SearchResultData{
NumQueries: nq,
TopK: topK,
Ids: &schemapb.IDs{IdField: &schemapb.IDs_IntId{IntId: &schemapb.LongArray{Data: []int64{1}}}},
Scores: []float32{0.9},
Topks: []int64{1},
}
// Single result with ResultData only (no SlicedBlob) — should pass filter and use shortcut return
out, err := ReduceSearchResults(ctx, []*internalpb.SearchResults{
{
MetricType: metric.IP,
NumQueries: nq,
TopK: topK,
ResultData: resultData,
},
nil, // should be filtered out
{}, // no data — should be filtered out
}, reduce.NewReduceSearchResultInfo(nq, topK).WithMetricType(metric.IP).WithPkType(schemapb.DataType_Int64))
suite.NoError(err)
suite.Same(resultData, out.GetResultData())
}
func (suite *ResultSuite) TestEncodeSearchResultData_EmptyResult() {
ctx := context.Background()
// nil searchResultData — should produce neither SlicedBlob nor ResultData
key := paramtable.Get().QueryNodeCfg.EnableResultZeroCopy.Key
original := paramtable.Get().QueryNodeCfg.EnableResultZeroCopy.GetValue()
defer paramtable.Get().Save(key, original)
paramtable.Get().Save(key, "true")
encoded, err := EncodeSearchResultData(ctx, nil, 1, 1, metric.IP)
suite.NoError(err)
suite.Nil(encoded.GetResultData())
suite.Nil(encoded.GetSlicedBlob())
// empty IDs still carry search metadata and should be encoded
srd := &schemapb.SearchResultData{
NumQueries: 1,
TopK: 1,
Ids: &schemapb.IDs{},
Scores: []float32{},
Topks: []int64{0},
AllSearchCount: 123,
FieldsData: []*schemapb.FieldData{},
}
paramtable.Get().Save(key, "false")
encoded, err = EncodeSearchResultData(ctx, srd, 1, 1, metric.IP)
suite.NoError(err)
suite.Nil(encoded.GetResultData())
suite.NotEmpty(encoded.GetSlicedBlob())
var decoded schemapb.SearchResultData
suite.NoError(proto.Unmarshal(encoded.GetSlicedBlob(), &decoded))
suite.True(proto.Equal(srd, &decoded))
paramtable.Get().Save(key, "true")
encoded, err = EncodeSearchResultData(ctx, srd, 1, 1, metric.IP)
suite.NoError(err)
suite.Same(srd, encoded.GetResultData())
suite.Nil(encoded.GetSlicedBlob())
}
func TestResult_MergeRequestCost(t *testing.T) {
costs := []*internalpb.CostAggregation{
{
ResponseTime: 11,
ServiceTime: 12,
TotalNQ: 13,
},
{
ResponseTime: 21,
ServiceTime: 22,
TotalNQ: 23,
},
{
ResponseTime: 31,
ServiceTime: 32,
TotalNQ: 33,
},
{
ResponseTime: 41,
ServiceTime: 42,
TotalNQ: 43,
},
}
channelCost := mergeRequestCost(costs)
assert.Equal(t, int64(41), channelCost.ResponseTime)
assert.Equal(t, int64(42), channelCost.ServiceTime)
assert.Equal(t, int64(43), channelCost.TotalNQ)
}
func TestResult(t *testing.T) {
paramtable.Init()
suite.Run(t, new(ResultSuite))
}